Milena Cukic Radenkovic

Scientist
Biomedical electronics engineer, with the master in biophysics and Ph.D. in Neuroscience
Projects granted:

12. KSSG St. Gallen Switzerland, granted in November 2022, Empa Project Leader

11. Margit Weisheit Fund, Switzerland (2022/2024) Empa Project Leader

10. ERA PerMed /DEPRECARD (Italy, Poland, Estonia, Lithuania, and the Nederland)2021     

9. RISEWISE Project H2020-MSCA-RISE-2015-690874, Instituto del Teqnologia de Conocimiento, Universidad Coplutense de Madrid (2016-2020)

8. EIT Health, Headstart, with UMC Utrecth and Erasmus MC Rotterdam, 3EGA. 2019.

7. Zorginnovatie Prijs, 3EGA Finalist, 2019.

6. Co-investigator on a Project ‘Cortical Plasticity in Multiple Sclerosis Examined by TMS-EEG Paradigm’ Medical School, Al Ain University UAE. 2015/19.

5. Diatomic Fund Fs6, Amsterdam EC Funds for Innovation, 2018.

4. AHTI HealthInc, Diatomic Funds and Gemeente Amsterdam, 2017-18.

3. Big4Cast. Computer Science Dpt., Universidad Complutense Madrid, Spain, 2016/18.

2. Lise Meitner Fund, Technische Universiteit Wien, 2013-2/14.

1. Agency for Reconstruction (EC) in Serbia and World Bank (grant for refurbishing Neuroimmunology Lab, Biomedical Center, Torlak Institute for Immunology, Vaccine and Sera), 2013/15. 

Publications:

2023

82. Elzbieta Olejarczyk, Milena Čukić, Camillo Porcaro, Filippo Zappasodi, Franca Tecchio. (2023) Clinical sensitivity of fractal neurodynamics. Chapter 3 in Book The Fractal Geometry of the Brain_2nd Edition, by Prof. Antonio Di Ieva. Accepted in December 2022. Springer Nature November 2023.

81. Milena Čukić, Elzbieta Olejarczyk, Maaie Bachmann. (2023) Fractal analysis of electrophysiological signals to detect and monitor depression: what we know so far? Chapter 9 in Book The Fractal Geometry of the Brain_2nd Edition, by Prof. Antonio Di Ieva. Accepted in December 2022. Springer Nature November 2023.

80. Milena Čukić (2023) The reason why rTMS and tDCS are effective in treatment of depression.  Frontiers Open Access eBook ‘Pain and Depression’ Editors Qing Zhao, Yazuo Kong and Li Wan. 30. March 2022. Chapter 1, pp 07, Doi 10.3389/fpsyg.2022.865071.

79. Milena Čukić and Vitoria Lopez (2023) Progress in objective detection of depression and online monitoring of patients based on physiological complexity. Frontiers Open Access eBook ‘Insights in Digital Mental Health’, Editor Prof. Heleen Riper. February 2023. ISSN 1664-8714, ISBN 978-2-83251-7, Doi 10.3389/978-2-83251-673-7. Chapter 5, pp 40. 

78. Milena Čukić, Chiara Romano, Francesca De Tommasi, Massimiliano Carassiti, Domenico Formica, Emiliano Schena and Carlo Massaroni. (2023) Linear and non-linear heart rate variability indexes from heart induced mechanical signals recorded with a skin-interfaced IMU. Sensors, MDPI, Accepted on January 28th 2023. https://www.mdpi.com/1424-8220/23/3/1615 doi: 10.3390/s23031615

77. Milena Čukić, Danka Savić, Julia Sidorova (2023). When heart beats differently in depression: a review of nonlinear HRV measures. JMIR Ment Health 2023;10:e40342 doi: 10.2196/40342,https://mental.jmir.org/2023/1/e40342

76. Milena Čukić, Danka Savić and Maie Bachmann (2023) Editorial on Special Issue Bundle Innovation in Depression Diagnosis and Treatment Outcome Monitoring, Frontiers in Mental Digital Health, Frontiers in Digital Mental Health/Psychiatry. Accepted 9. June 2023, doi.org/10.3389/fdgth.2023.1224999

75. Milena Cukic, Slobodanka P. Galovic, Mathematical Modeling of Anomalous Diffusive Behavior in Transdermal Drug-Delivery Including Time-Delayed Flux Concept, SSRN, doi.org/10.1016/j.chaos.2023.113584

74. Čukić, M. and Galovic, S., 2023. Mathematical modeling of anomalous diffusive behavior in transdermal drug-delivery including time-delayed flux concept. Chaos, Solitons & Fractals, 172, p.113584. doi.org/10.1016/j.chaos.2023.113584

73. Milena, Čukić, Chiara Romano, Francesca De Tommasi, Massimiliano Carassiti, Domenico Formica, Emiliano Schena, and Carlo Massaroni. "Linear and Non-Linear Heart Rate Variability Indexes from Heart-Induced Mechanical Signals Recorded with a Skin-Interfaced IMU." Sensors 23, no. 3 (2023): 1615.

72. Čukić, M., Savić, D. and Sidorova, J., 2023. When Heart Beats Differently in Depression: Review of Nonlinear Heart Rate Variability Measures. JMIR Mental Health, 10(1), p.e40342. doi: 10.2196/40342

71. Milena Čukić Radenković (2022). Needed Innovations in Psychiatry – New avenues for objective depression treatment. Springer Nature (accepted to be published in July 2023).

70. Milena Čukić, Danka Savić and Maie Bachmann (2023) Editorial on Special Issue Bundle Innovation in Depression Diagnosis and Treatment Outcome Monitoring, Frontiers in Mental Digital Health (Frontiers in Psychiatry) February 2023

69. Milena Čukić, Chiara Romano, Francesca De Tommasi, Massimiliano Carassiti, Domenico Formica, Emiliano Schena and Carlo Massaroni. (2022) Linear and non-linear heart rate variability indexes from heart induced mechanical signals recorded with a skin-interfaced

IMU. Sensors, MDPI, December 26 second revision 2022. doi:10.3390/s23031615

 

2022

68. Milena Čukić, Elzbieta Olejarczyk, Maaie Bachmann. (2022) Fractal analysis of electrophysiological signals to detect and monitor depression: what we know so far? Chapter 9 in Book The Fractal Geometry of the Brain_2nd Edition, by Prof. Antonio Di Ieva. Springer Nature December 2022.

67. Elzbieta Olejarczyk, Milena Čukić, Camillo Porcaro, Filippo Zappasodi, Franca Tecchio. (2022) Clinical sensitivity of fractal neurodynamics. Chapter 3 in Book The Fractal Geometry of the Brain_2nd Edition, by Prof. Antonio Di Ieva. Springer Nature December 2022.

66. Milena Čukić, Danka Savić, Julia Sidorova (2022). When heart beats differently in depression: a review of nonlinear HRV measures. JMIR Mental Health (Accepted on December 6th 2022)

65. Milena Čukić and Victoria López (2022) Progress in objective detection of depression and online monitoring of patients based on physiological complexity. Special issue Mental Digital Health, Frontiers in Psychiatry. Awaiting acceptance after a second positive review17Feb2022.

64. Massaroni Carlo, Romano Chiara, Tommasino Francesca, Milena B. Čukić, Formica Domenico, Schena Emiliano (2022) Heart rate and heart rate variability indexes estimated by mechanical signals from a skin-interfaced IMU: a feasibility study. 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT). Conference proceedings May 2022. Published on June 7 2022.

63. Čukić Radenković M., Llamocca P. and Lopez V. (2022) An unexpected connection from our personalized medicine approach to bipolar depression forecasting. IntelliSys Conference, Amsterdam 3-5 September 2022. "Advances in Intelligent Systems and Computing", Springer Verlag September 2022. Volume 53. 226-258

2021

62. Milena Čukić and Danka Savić. (2021) Another Godot who is still not coming: more on biomarkers for depression. Intervista Psyqiatria y Salud Mental/International Journal of Psychiatry and Mental Health, Elsevier (accepted on 9 December 2021) https://doi.org/10.1016/j.rpsm.2021.12.006

https://www.elsevier.es/es-revista-revista-psiquiatria-salud-mental--286-avance-resumen-another-godot-who-is-still-S1888989121001361

61. Pavel Llamocca, Victoria López and Milena Čukić (2021) The proposition for future bipolar depression forecasting based on wearables data collection. Mini Review, Frontiers in Physiology, Special issue Physio-logging (accepted on November 29 2021, published on January 29 2022) https://www.frontiersin.org/articles/10.3389/fphys.2021.777137/full

60. Milena Čukić and Miodrag Stokić (2021). When we will change the status-quo in management of depression: Post Pandemic Possibilities for better assessment and treatment in mental health. World Journal of Psychiatry, Baishideng Publishing Group Inc. (Accepted on December 5, 2020. ID: 05421291)

59. Pavel Llamocca, Victoria López, Matilde Santos and Milena Čukić (2021) Personalized Analysis of Bipolar Disorder Mood States. MDPI. Mathematical Modelling and its Application in Medicine, Special Issue, Mathematics. 2021; 9(11):1174. https://doi.org/10.3390/math9111174

 

2020

58. Milena Čukić, Dragoljub Pokrajac, Viktorija Lopez. "On Mistakes we made in Prior Computational Psychiatry Data Driven Approach Projects and How they Jeopardize Translation of Those Findings in Clinical Practice". A chapter 37 in the book, Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 3 (AISC 1252 proceedings), Springer Nature, September 2020. ISSN 2194-5357 ISSN 2194-5365 (electronic); Advances in Intelligent Systems and Computing

ISBN 978-3-030-55189-6 ISBN 978-3-030-55190-2 (eBook)

https://doi.org/10.1007/978-3-030-55190-2. M14

57. Milena Čukić (2020) Discussion on Altered EEG Oscillatory brain Networks During Music-listening in Depression. International Journal of Neural Systems, September 2020. (Accepted on 19. Dec 2020.) Vol 31: 4, April 2021. https://doi.org/10.1142/S0129065721750010

56. Victoria Lopez and Milena Čukić (2020) A dynamical model of SARS-CoV-2 based on people flow network. Safety Science, Elsevier (Accepted on October 4th 2020) Published 15 October 2020.-February 21. 2021. https://www.sciencedirect.com/science/article/pii/S0925753520304318?dgcid=author

55. Milena Čukić Radenković, Victoria Lopez and Juan Pavon (2020). Classification of Depression Through Resting-State Electroencephalogram as a Novel Practice in Psychiatry: Review. JMIR (Accepted on September 3. 2020 for publication); Published on November 3. 2020. https://www.jmir.org/2020/11/e19548

Julia Sidorova, Pablo Carbonelli and Milena Čukić (2020) Blood Glucose Estimation from Voice: A Review of Successes and Challenges. Journal of Voice, Elsevier (Accepted on August 30. 2020) Published on October 8. 2020. https://pubmed.ncbi.nlm.nih.gov/33041176/

54. Milena Čukić Radenković (2020) The reason why rTMS and tDCS are efficient in treatments of depression. Frontiers in Psychology (section Neuropsychology), Opinion. 13. January 2020, Volume 10, Article 2923. doi: 10.3389/fpsyg.2019.02923.

https://www.frontiersin.org/articles/10.3389/fpsyg.2019.02923/full

53. Milena Čukić, Miodrag Stokić, Slobodan Simić and Dragoljub Pokrajac (2020) The successful discrimination of depression from EEG could be attributed to proper feature extraction and not to a particular classification method. Cognitive Neurodynamics, Springer Verlag 25. March 2020. https://link.springer.com/article/10.1007/s11571-020-09581-x

52. M Čukić Radenković and V. Lopez. (2020) On mistakes we made in prior Computational Psychiatry Data driven approach projects and how they jeopardize translation of those findings in clinical practice. IntelliSys Conference, Amsterdam 3-5 September 2020. "Advances in Intelligent Systems and Computing", Springer Verlag 2020. Volume 1252. https://doi.org/10.1007/978-3-030-55190-2.

51. P Llamocca, V Lopez Lopez and M Čukić Radenković. (2020) An approach to reveal differences between bipolar and unipolar depression. 28th European Congress of Psychiatry EPA 4-7 July 2020, 2020, Madrid, Spain. 2723. Accepted on December 16. 2019. To be published in electronic supplement of European Psychiatry, the official journal of the European Psychiatric Association published by Cambridge University Press. ISBN

50. Milena Čukić Radenković, and Victoria Lopez Lopez. (2020) How data-driven computational psychiatry methods can support a more accurate diagnosis of depression? 28th European Congress of Psychiatry EPA 4-7 July 2020, 2020, Madrid 2763. Accepted on December 16. 2019. To be published in electronic supplement of European Psychiatry, the official journal of the European Psychiatric Association published by Cambridge University Press. ISBN

49. Milena Čukić (2020). Primena linearnih i nelinearnih metoda analize elektrofizioloških parametara površinskog elektromiograma dobijenog transkranijalnom magnetnom stimulacijom.6 July, 2011. University of Belgrade, ProQuest Dissertations Publishing, 2011. 27771982. 10 January 2020.

48. Milena Čukić (2020). Uticaj konfiguracije i geometrijskih karakteristika električnog polja indukovanog transkranijalnom magnetnom stimulacijom na pokazatelje nadražljivosti motorne kore mozga. Teza, Magistarska .16 March, 2006. University of Belgrade, ProQuest Dissertations Publishing, 2006. 27771981. 9 January 2020.

 

2019

47. Milena Čukić Radenković (2019). Novel Approaches in Treating Major Depressive Disorder (Depression), ISBN: 978-1-53614-382-9, NOVA Scientific Publishers ltd. August 2019.

46. Kalauzi A., Cukic M., Vega H.M., Bonafoni S., Biondi R. (2019). Fractal Rhythms and Trends of Rainfall Data from Pastaza Province, Ecuador and Veneto, Italy. A Chapter 59 in a Book ‘Recent Progress in Computational Sciences and Engineering’ by Theodore Simos. CRC Press, London. May 2019. DOI: 10.1201/980429070655-59.

45. Kalauzi A., Cukic M., Vega H.M., Bonafoni S., Biondi R. (2019). Fractal Rhythms and Trends of Rainfall Data from Pastaza Province, Ecuador and Veneto, Italy. A Chapter 59 in a Book ‘Recent Progress in Computational Sciences and Engineering’ by Theodore Simos. CRC Press, London. May 2019. DOI: 10.1201/980429070655-59. https://www.taylorfrancis.com/books/recent-progress-computational-sciences-engineering-theodore-simos-george-maroulis/e/10.1201/9780429070655

44. Milena Čukić, Miodrag Stokić, Slavoljub Radenković, Miloš Ljubisavljević, Dragoljub Donald Pokrajac (2019) The Shift in brain-state induced by tDCS: an EEG study (A chapter 3 in book Novel Approaches in Treating Major Depressive Disorder, ISBN: 978-1-53614-382-9, NOVA Scientific Publishers ltd, New York, USA. 2019)

43. Čukić Milena, Stokić Miodrag, Radenković Slavoljub, Ljubisavljević Miloš, Simić Slobodan, Danka Savić. (2019) Nonlinear analysis of EEG complexity in episode and remission phase of recurrent depression. International Journal of Research Methods in Psychiatry/ IJMPR accepted on November 25. 2019. e1816, DOI: 10.1002/MPR.1816

https://link.springer.com/article/10.1007/s11571-020-09581-x

42. P Llamocca, D Urgelés, M Cukic, V.M. Lopez (2019) Bip4Cast: Some advances in mood disorders data analysis. DSRS-Turing 2019. Alan Turing Institute Conference in London, 28-29 November 2019. Conference Proceedings Published by Springer, (ISBN: 978-1-5262-0820-0) pp. 5-10.  https://dsrs.blogs.bristol.ac.uk/dsrs-turing19/

 

2018 and before

41. Milena Čukić, Miodrag Stokić, Slavoljub Radenković, Miloš Ljubisavljević, Dragoljub Donald Pokrajac (2019) The Shift in brain-state induced by tDCS: an EEG study (A chapter 3 in book Novel Approaches in Treating Major Depressive Disorder, ISBN: 978-1-53614-382-9, NOVA Scientific Publishers ltd, New York, USA. 2019)

40. Pavel Llamocca, Axel Junestrand, Milena Cukic, Victoria Lopez and Diego Urgelés (2018) Data Source Analysis in Mood Disorder Research. Conference paper, CAEPIA Proceedings 2018 (XVIII Conference of the Spanish Association of Artificial Intelligence, Granada 2018) pp.893-899.

 

2017

39. Milena Čukić, Miodrag Stokić, Maria Fissler, Emilia Winnebeck, Julia Huntenburg, Titus Schroeter, Slavoljub Radenković, Matti Gärtner, Thorsten Barnhofer (2017) Complexity changes in EEG discriminate depressed persons in episode from healthy controls. British Association for Behavioural & Cognitive Psychotherapies (BABCP) Conference, July 25-28. 2017. Manchester, UK. ISBN

38. Milena Čukić, Miodrag Stokić, Thorsten Barnhofer. (2017) Reducing in connectivity with an increase in complexity in EEG of patients before and after mindfulness based cognitive therapy training. British Association for Behavioural & Cognitive Psychotherapies (BABCP) Conference, July 25-28. 2017. Manchester, UK.

37. Victoria López, Diego Urgelés, Milena Cukic, Guadalupe Miñana and Yolanda García. (2017) Big Data Integration on Bipolar Disorder and Drugs Dependency (2017) ICON conference, Amsterdam, August 2017, ISBN, link

 

2016

36. Stokic M., Cukic M., Adamovic T. (2016). Electrophysiological basis of human verbal memory. In Electrophysiological correlates of functional speech-language signal processing (Eds. Lj. Jelicic, M. Stokic, M. Subotic.), IEPSP&LAAC, ISBN 978-86- 89431-15- 5, Chapter 2, pp 63-131.

35. Miodrag Stokić and Milena Čukić Radenković. (2016) Nonlinear Features of EEG Changes during Auditory- Verbal Short-Term Memory Task. Chapter I in Book Horizons in Neuroscience Research. NOVA publishers Inc, Volume 26, Editors: Andres Costa and Eugenio Villalba, 2016. ISBN: 978-1-63485-928-8

34. Victorial Lopez Lopez and Milena Cukic (2016) Big Data in Social and Healtcare Sciences. Leiden 9. Januar 2016 (University of Leiden, Medical Faculty, Dept for Statistics) , ISBN

33. Miodrag Stokić and Milena Čukić Radenković (2016) Nonlinear Features of EEG Changes during Auditory- Verbal Short-Term Memory Task. Chapter I in Book Horizons in  Neuroscience Research. NOVA publishers Inc, Volume 26, Editors: Andres Costa and Eugenio Villalba, ISBN: 978-1-63485-928-8)

2015

32. Ministery of Education, Science and Technological Development of the Republic of Serbia and Institute for Education Quality and Evaluation (ПРЕДЛОГ ОБРАЗОВНИХ СТАНДАРДА ЗА КРАЈ СРЕДЊЕГ ОБРАЗОВАЊА ЕЛЕКТРОМАГНЕТИЗАМ) General standards of accomplishment for the end of public secondary education in part of education in Physics (2015)

31. ОПШТИ СТАНДАРДИ ПОСТИГНУЋА ЗА КРАЈ ОПШТЕГ СРЕДЊЕГ И СРЕДЊЕГ СТРУЧНОГ ОБРАЗОВАЊА И ВАСПИТАЊА У ДЕЛУ ОПШТЕОБРАЗОВНИХ ПРЕДМЕТА: Oбласт ФИЗИКА; ЕЛЕКТРОМАГНЕТИЗАМ. Др. Милена Чукић и Предраг Стојаковић (2015). Издавач: Завод за вредновање квалитета образовања и васпитања. Pp:33-40.  ISBN 978-86-86715-54-8

30. Stokić M., Milovanović D., Ljubisavljević M., Nenadović V., Čukić M. (2015). Memory load effect in auditory-verbal short-term memory task: EEG fractal and spectral analysis. Experimental Brain Research, DOI 10.1007/s00221-015-4372-z.

29. Stokić M., Nenadović V., Čukić M. (2015). Regional EEG Complexity Changes in auditory-verbal short-term memory task for words and nonwords: Sample Entropy Analysis. Proceedings Speech and Language 2015; Belgrade, Serbia. Pp 268-272.

 

2014

28. Stokic M., Cukic M., Milovanovic D., Nenadovic V. (2014). EEG complexity changes during auditory-verbal short-term memory task: fractal and spectral analysis. 4th International Congress on Early Prevention in Children with Verbal Communication Disorders, September 5th-7th 2014, Varna, Bulgaria, ISSN 978-954-577-976-3, pp 33-34.

 

2013

27. M. Cukic, J. Oommen, D. Mutavdzic, N. Jorgovanovic, M. Ljubisavljevic (2013). The effect of single-pulse transcranial magnetic stimulation and peripheral nerve stimulation on complexity of EMG signal: fractal analysis. Experimental Brain Research Volume 228, Issue 1 (2013), Page 97-104 DOI: 10.1007/s00221-013-3541-1

26. M. Cukic, A. Kalauzi, M. Ljubisavljevic (2013) P 97. Could plasticity-like changes be qualified by the evolution of complexity in transcranial magnetic stimulation induced surface EMG? Clinical Neurophysiology, Volume 124, Issue 10, October 2013, Page e111

25. M. Cukic, M. Ljubisavljevic, N. Jorgovanovic (2013) Fractal Characterization of surface EMG induced by TMS and peripheral stimulation of the same target muscle. NENS Conference in Ljubljana, Slovenia; MET-B05, 24. September 2013. ISBN 978-961-91704-4-1

 

2012

24. Milena Čukić, Mirjana Platiša, Miloš Ljubisavljević, Vladimir Kostić (2012). Complexity Changes in TMS Induced Surface EMG. Session CCS2012, 4th International Interdisciplinary chaos symposium on chaos and complex systems, April 29-May 02. 2012, Antalya, Turkey. Printed as a Chapter in Book ‘Chaos and Complex Systems’, Springer. ISBN: 978-3-642-33914-1; doi:10.1007/978-3-642-33914-1

23. Humberto Millán, Aleksandar Kalauzi, Milena Cukic, Riccardo Biondi (2012). Nonlinear dynamics of meteorological variables: multifractality and chaotic invariants in daily records from Pastaza, Ecuador. Theoretical and Applied Climatology. 04/2012; 102(1):75-85. DOI: 10.1007/s00704-009-0242-6

22. Aleš Belič, Milena Čukić, David Neubauer, Tina Bregant (2012) Identification of the long-term effects of mild to moderate neonatal cerebral hypoxia based on EEG signals analysis, MATHMOD 2012 conference, in: Proceedings of the 7th Vienna Conference on Mathematical Modelling, 2012, pp. 924–929. DOI: 10.3182/20120215-3-AT-3016.00163

21. M. Čukić M., Kalauzi A., Ljubisavljevic M., Jorgovanović N, Kostić V (2012). The Evolution of Complexity in Transcranial Magnetic Stimulation induced surface EMG: a possible illustration of plasticity-like changes. Book of abstracts, The 16th Congress of the European Federation of Neurological Societies - EFNS 2012, Stockholm, September 8-11. 2012. https://onlinelibrary.wiley.com/toc/14681331/2012/19/s1

https://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1468-1331.2012.03888.x

2012 EFNS European Journal of Neurology 19 (Suppl. 1), 90–457 pp. 332. P1619 

20. Milena Čukić, Mirjana Platiša, Miloš Ljubisavljević, Vladimir Kostić (2012). Complexity Changes in TMS Induced Surface EMG. Session CCS2012, 4th International Interdisciplinary chaos symposium on chaos and complex systems, April 29-May 02. 2012, Antalya, Turkey.      https://www.managementboek.nl/boek/9783642427534/chaos-and-complex-systems-stavros-g-stavrinides

 

2011

19. Milena Čukić, Miloš Ljubisavljević, Nikola Jorgovanović (2011) Complexity changes of sEMG in TMS and PS protocols: Is it better to apply the factors of chaos? XI International Symposia of Clinical Neurophysiology, 3. - 4.10. 2011, Military Medical Academy, Beograd, Serbia. https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1468-1331.2012.03889.x

18. M. Cukic, FS Al Jaberi, FA Juma, MA Al Suwaidi, JJ Oommen and M. Ljubisavljevic (2011) Does a single pulse Transcranial Magnetic Stimulation exert plasticity-like effects on motor cortex activity - scaling analysis of changes in EMG after single-pulse TMS, Conference Book of Abstracts. 1st IBRO Middle East Neuroscience Conference 7 to 9 February 2011, Al Ain, Abu Dhabi, United Arab Emirates. http://www.neuroconf.uaeu.ac.ae/index.asp

17. Milena Čukić, Miloš Ljubisavljević, Nikola Jorgovanović (2011) Fractal characterization of surface EMG induced by TMS and peripheral stimulation of the same target muscle. SINAPSA 2011 Neuroscience Conference, Ljubljana, Slovenia 22-24 Sept 2011. Book of Abstracts, pp 134, ISBN 978-961-91704-4-1

 

2010

16. M. Cukic, FS Al Jaberi, FA Juma, MA Al Suwaidi, JJ Oommen i M. Ljubisavljevic (2010) The influence of Transcranial magnetic stimulation on Fractal characteristics of voluntary surface EMG in healthy subjects, Poster presentation 09, pp 12. 10th International Symposia of Clinical Neurophysiology, 8 - 9. October 2010. Belgrade, Serbia. http://www.ukns.org/wp-content/uploads/2014/10/Simpozijum-2010.pdf

15. Milena Čukić, Miloš Ljubisavljević (2010): Uticaj transkranijalne magneten stimulacije motorne kore na promene fraktalnih dimenzija elektromiografske aktivnosti kod zdravih ispitanika (The Influence of transcranial magnetic stimulation on fractal dimension change of electromyographic activity in healthy volunteers), ETRAN 2010, ME1.6 Book of Abstracts, Lepenski Vir 7-10. June 2010. Serbia, ISBN

14. Ljubisavljevic M, Cukic M, Kalauzi A, Filipovic S (2010). The effects of transcranial magnetic stimulation on electromyographic characteristics in Primary writing tremor patients. 14th International Congress of Parkinson’s Disease and Movement disorder Society, Buenos Aires, Poster and Book of Abstracts, Argentina 13-17 June 2010. https://www.medscape.com/viewcollection/31023

13. Cukic M, Filipovic S, Ljubisavljevic M (2010) Transcranial magnetic stimulation effects on tremor in Primary writing tremor patients. First International Workshop on "Synaptic Plasticity: from bench to bed side" Taormina, Sicily, Italy, April 28.-May 1. 2010. Abstract in a Conference Book. http://docplayer.net/37536563-1st-workshop-on-synaptic-plasticity-from-bench-to-bed-side.html

 

2009

12. Milena Čukić  (2009) Transcranial magnetic stimulation-recent examples of application in Cognitive Neuroscience. Speech and Language 2009, Proceedings: 3rd International Conference on Fundamental and Applied Aspects of Speech and Language,   Institute for Experimental Phonetics and Speech PathologyAt: Belgrade, Serbia Volume: ISBN: 978-86-81879-26-9, pg:61-67 

11. Aleksandar Kalauzi , Milena Cukic, Humberto Millán , Stefania Bonafoni , Riccardo Biondi (2009). Comparison of fractal dimension oscillations and trends of rainfall data from Pastaza Province, Ecuador and Veneto, Italy; Atmospheric Research 93(2009) 673-679

10. Čukić M, Kalauzi A, Ilić T, Mišković M, Ljubisavljević M.(2009) The influence of coil-skull distance on transcranial magnetic stimulation motor evoked responses, Experimental Brain Research, January 2009 vol 192.No1. pp 53-60.

9. Milena Čukić (2009) Transcranial magnetic stimulation-recent examples of application in Cognitive Neuroscience; Speech and Language 2009, Proceedings: 3rd International Conference on Fundamental and Applied Aspects of Speech and Language, The Institute for Experimental Phonetics and Speech Pathology , ISBN: 978-86-81879-26-9, pg:61-67

8. Milena Čukić, Aleksandar Kalauzi (2009). Primer uticaja pulsnog magnetnog polja na provodljiva neuralna tkiva: Transkranijalna magnetna stimulacija, biofizički mehanizam prostiranja i dinamika neuralnih mreža. Biološki efekti veštačkih Elektromagnetnih polja- Prvi simpozijum sa međunarodnim učešćem , Invited Lecture. FTN 29 i 30. Maj 2009, Novi Sad, ISBN

7. Milena Čukić, Aleksandar Kalauzi, Miloš Ljubisavljević (2009): Analysis of probability density distributions of TMS induced physiological parameters, Clinical Neurophysiology, Vol 120.March 2009. pg e129.doi:10.1016/j.clinph.2008.12.013

Analiza raspodele fizioloških parametara dobijenih Transkrnijalnom magnetnom stimulacijom. Osmi Simpozijum Kliničke neurofiziologije sa medjunarodnim učešćem, 17. okt 2008. Beograd

6. Čukić M, Kalauzi A, Ilić T, Mišković M, Ljubisavljević M.(2009) The influence of coil-skull distance on transcranial magnetic stimulation motor evoked responses, Experimental Brain Research, January 2009 vol 192.No1. pp 53-60.

5. Cukic, M., Kalauzi, A., Ilic, T., Miskovic, M. and Ljubisavljevic, M., 2009. The influence of coil–skull distance on transcranial magnetic stimulation motor-evoked responses. Experimental brain research, 192(1), pp.53-60.

 

2006

4. Vega, H.M., Kalauzi, A., Čukić, M. and Pérez, R.A., 2006, June. FRACTAL ANALYSIS OF SOME ATMOSPHERIC DATA FROM PASTAZA, ECUADOR. In Proc. 50th ETRAN Conference (Vol. 1).

3. The Influence of distance of stimulation coil and voluntary activation on MEP latencies in TMS study,  Milena Čukić, Aleksandar Kalauzi ETRAN, 2006, 3 (ME2), 252-255

 

2001

2. Application of laser techniques in treatment in some ophthalmological disorders S. Kajkut, M. Čukić, D. Korać, J. Ilić ETRAN, 2001, 4 (ME2), 239-241

1. M. Čukić, D. Kolar, S. Kajkut (2001). Primena Transkranijalne magnetne stimulacije u tretmanu depresije. Application of Transcranial Magnetic Stimulation in treatments of Major Depression. ME2.2, ETRAN 2001, pp. 231-234.

 

Preprints

Čukić, M.B., 2021. Godot is not coming: when we will let innovations enter psychiatry?. arXiv preprint arXiv:2110.12873.

Čukić, M., Savić, D. and Sidorova, J., 2021. When heart beats differently in depression: a review of HRV measures. arXiv preprint arXiv:2110.08621.

Cukic, M., Radenkovic, S., Stokic, M. and Savic, D., 2020. Transfer entropy applied on EEG in depression reveals aberrated dynamics. arXiv preprint arXiv:2008.13625.

Čukić, M., Pokrajac, D. and Lopez, V., 2021. On mistakes we made in prior computational psychiatry data driven approach projects and how they jeopardize translation of those findings in clinical practice. In Intelligent Systems and Applications: Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 3 (pp. 493-510). Springer International Publishing.

Lopez, V. and Čukić, M., 2020. The comparison of trends in Spain and the Nederland: a Dynamical compartment model of the transmission of Coronavirus. arXiv preprint arXiv:2004.09874.

Čukić, M., Stokić, M., Radenković, S., Ljubisavljević, M., Simić, S. and Savić, D., 2020. Nonlinear analysis of EEG complexity in episode and remission phase of recurrent depression. International journal of methods in psychiatric research, 29(2), p.e1816.

Radenković, M.Č. and Lopez, V.L., 2019. Machine Learning Approaches for Detecting the Depression from Resting-State Electroencephalogram (EEG): A Review Study. arXiv preprint arXiv:1909.03115.

Cukic Radenkovic, M., 2019. Machine learning approaches in Detecting the Depression from Resting-state Electroencephalogram (EEG): A Review Study. arXiv e-prints, pp.arXiv-1903.

Cukic, M., 2019. The role of physiological complexity changes in resting-state EEG in clinical effectiveness of rTMS and tDCS in treatments of resistant depression. arXiv preprint arXiv:1903.10626.

Cukic, M., Stokic, M., Radenkovic, S., Ljubisavljevic, M. and Pokrajac, D.D., 2018. The shift in brain-state induced by tDCS: an EEG study. arXiv preprint arXiv:1812.01342.

Cukic, M.B., Platisa, M.M., Kalauzi, A., Oommen, J. and Ljubisavljevic, M.R., 2018. The comparison of Higuchi fractal dimension and Sample Entropy analysis of sEMG: effects of muscle contraction intensity and TMS. arXiv preprint arXiv:1803.10753.

Posters:

1. Victoria López (2017), Diego Urgelés, Milena Cukic, Guadalupe Miñana and Yolanda García. Big Data Integration on Bipolar Disorder and Drugs Dependency (2017) ICON conference, Amsterdam, August 2017

2. Victorial Lopez Lopez and Milena Cukic (2016) Big Data in Social and Healtcare Sciences. Leiden 9. Januar 2016 (University of Leiden, Medical Faculty, Dept for Statistics)

3. Cukic M, Filipovic S, Ljubisavljevic M (2010) Transcranial magnetic stimulation effects on tremor in Primary writing tremor patients. First International Workshop on "Synaptic Plasticity: from bench to bed side" Taormina, Sicily, Italy, April 28.-May 1. 2010. Poster and Abstract in a Conference Book.

Doctoral Students (6):

Dr. Miodrag Stokić (Belgrade University, Serbia), Axel Junestrand, Pavel Llamoca, Dr. Diego Urgeles Pertolas (Universidad Complutense, Madrid, Spain), Anica Milovanović (University of Novi Sad, Serbia), Dr. Laura Paëske (Tallinn Technical University, Estonia/Defended Doctoral Thesis on April 23. 2021).

Review editor:

Review editor in Frontiers Digital Health and Guest Associate Editor in Frontiers in Psychiatry- (Innovations in Depression Diagnosis and Treatment, https://www.frontiersin.org/research-topics/38994/innovations-in-depression-diagnosis-and-treatment-outcome-monitoring), Review Editor in MDPI Applied Sciences, Sensors and Neurosciences, Nature Digital Health, JMIR, IJNS, Computers in Biology and Medicine, Biocybernetics and Biomedical engineering, Board member in Applied Soft Computing and occasional reviews in several other multidisciplinary international Journals like PlosOne, PeerJ etc.

Co-organizer of the First International Biophysics Workshop “Academician Radoslav K. Andjus” on Imaging in Neurosciences and Beyond, September 2006; also editing all the papers for Proceedings.